✦ AI ML
Development Company
Automate and Advance Your Business with Innovation-driven Artificial Intelligence & Machine Learning Solutions
24+
SaaS Platforms Built
233+
Projects Completed Successfully
440+
Global Business Consultations
186+
IOS, Android & Hybrid Apps
19
Countries Clients Served
98.3%
Projects delivered on-time
Case Studies
Few of Our Recent Works
AI ML Development Services
We have all seen the growth of technology around us as we progressed in age. It has reached such a step where a few algorithms can handle larger chunks of code by itself. Say hello to the era of Artificial Intelligence and Machine learning
Our AI ML Development Expertise
Syoft holds proficiency in developing solutions integrating advanced technologies like AI/ML, AR/VR, blockchain, and many more that can offer an outstanding user experience. Automate business intelligence and drive valuable insights for better results with AI-Ml Development services
Convert text from pictures, image PDF files, scanned documents and handwritten text into digital, machine-readable text with the help of OCR software. The OCR algorithm compares, matches and converts a group of pixels from image to text format with the help of an extensive font library stored locally or on a cloud server sitting elsewhere
May it be rule-based automation like organizing unstructured data or capturing form data and sending it to another independent system, any automation can be made possible with the use of RPA technologies. Not only limited to that, we can build bots that can learn and predict sales patterns to take your stress off revenue generation efforts
Conversational AI technologies like Alexa and Ok Google have become a part of our daily lives now. Imagine you building a personalized conversational chatbot to talk to your customers and give special attention to only those who need it the most. We can leverage the many enterprise-level open source platforms like IBM Watson and Kore.ai to build industry-ready bots to serve our varying needs of day-to-day business
Algorithms have been developed with the capability of improving autonomously over time with usage and accumulation of user data and behavior. Right from sample data input to the slow evolution of self filtering and reporting, ML can do wonders over time
Deep learning or deep structured learning is an advancement of Machine learning algorithms built on artificial neural networks. It can be as complex as the output taking a few days to generate based on the size of the input dataset. The beauty of such deep networks is that they can be built once and it will run unattended for years to come with almost zero supervision